Dimitris Rizopoulos
@drizopoulos
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Professor of Biostatistics @ErasmusMC, co-Editor @Biostatistics, Teacher @NIHESnl
Rotterdam
Joined August 2009
A new version of JMbayes2 with many new features is on CRAN. It supports zero correlations for the covariance matrix of the random effects, IPCW for the AUC and the Brier score, Super Learning, and fitting interval-censored competing risks data: #rstats
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RT @statmodsociety: Our first invited speaker @drizopoulos gave a very insightful talk on how longitudinal data can be modelled via joint m…
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RT @p_m_afonso: Heading to Salzburg 🏞️ to present at #SAM2024. Join us in Invited Session 16 (July 10, 09:00) for insights on efficiently i…
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RT @IBSstats: Special Announcement! We're pleased to welcome Sander Greenland as our Keynote Speaker for IBC2024. Dr. Greenland is Emeritus…
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A great meeting at @ErasmusMC today hosting the @BMS_ANed Spring Meeting on the occasion of the Hans van Houwelingen, with @DeliuNina, @ThomasKlausch and @zwyang96 speaking about Statistical and Machine Learning Methods for Sequential Decision Making.
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@f2harrell Very nice paper. Can these models handle unbalanced data in the sense that each patient provides measurements at completely different time points? In these cases, the “previous-measurement” covariate has a different meaning per patient.
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Interested in applications of machine learning and statistics for sequential decision making? Join us at the BMS-ANed spring meeting: #epitwitter #statstwitter
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@ericnovik When computing speed matters and you have a complex model, writing your own sampler will be more efficient (though much harder to do) than relying on general-purpose software (e.g., STAN, JAGS, etc.).
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RT @iscb45: Five pre-conference courses @KellyVanLancker @drizopoulos @BabakOskooei @CNakas and many others +invited sessions covering the…
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Want to learn how to improve the accuracy of dynamic predictions? Have a look at our new super learning procedure for joint models: Example code available on JMbayes2's website:
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A new vignette on the website of JMbayes2 showcasing how time-varying coefficients (non-proportional hazards) for the longitudinal outcomes are implemented in the package: #rstats #statstwitter #epitwitter
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RT @p_m_afonso: Now at #ISCB44 @drizopoulos presenting JMbayes2, an R package to fit extended joint models for longitudinal and time-to-eve…
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RT @ICRharry: Great talk by @drizopoulos on the causal effects of salvage therapy for radical prostatectomy #prostatecancer #ISCB44 https:/…
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RT @NIHESnl: During the Erasmus Summer Programme you will be taught by the best in their field. Some of them hold an (adjuct) professorship…
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RT @SESSTIM: [#Webinar] Our latest QuanTIM webinar is out! ⤵ 💬Personalized Scheduling of Invasive Procedures 🗣@drizopoulos 💻 https://t.co/…
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